000			03109nam a22003858i 4500
001			CR9780511758744
003			UkCbUP
005			20200124160319.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100430s2000||||enk o ||1 0|eng|d
020			_a9780511758744 (ebook)
020			_z9780521462457 (hardback)
020			_z9780521043717 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQ172.5.C45 _bC64 2000
082	0	0	_a003/.857 _221
245	0	0	_aComplex systems / _cedited by Terry R.J. Bossomaier and David G. Green.
264		1	_aCambridge : _bCambridge University Press, _c2000.
300			_a1 online resource (v, 413 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0	0	_g1. _tIntroduction / _rT.R.J. Bossomaier and D.G. Green -- _g2. _tSelf-organisation in complex systems / _rD.G. Green -- _g3. _tNetwork evolution and the emergence of structure / _rD.A. Seeley -- _g4. _tArtificial life: growing complex systems / _rZ. Aleksic -- _g5. _tDeterministic and random fractals / _rJohn E. Hutchinson -- _g6. _tNon-linear dynamics / _rD.E. Stewart and R.L. Dewar -- _g7. _tNon-linear control systems / _rM.R. James -- _g8. _tParallel computers and complex systems / _rG.C. Fox and P.D. Coddington -- _g9. _tAre ecosystems complex systems? / _rR.H. Bradbury, D.G. Green and N. Snoad -- _g10. _tComplexity and neural networks / _rTerry Bossomaier.
520			_aThis book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing.
650		0	_aChaotic behavior in systems.
650		0	_aComputational complexity.
650		0	_aFractals.
650		0	_aArtificial intelligence.
700	1		_aBossomaier, Terry R. J. _q(Terry Richard John), _eeditor.
700	1		_aGreen, David G. _q(David Geoffrey), _d1949- _eeditor.
776	0	8	_iPrint version: _z9780521462457
856	4	0	_uhttps://doi.org/10.1017/CBO9780511758744
999			_c521772 _d521770